Research article
09 Nov 2015
Research article | 09 Nov 2015
Putting the clouds back in aerosol–cloud interactions
A. Gettelman
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Cited articles
Abdul-Razzak, H. and Ghan, S. J.: A parameterization of aerosol activation 3. Sectional Representation, J. Geophys. Res., 107, AAC 1-1–AAC 1-2, https://doi.org/10.1029/2001JD000483, 2002.
Albrecht, B. A.: Aerosols, cloud microphysics and fractional cloudiness, Science, 245, 1227–1230, 1989.
Bogenschutz, P. A., Gettelman, A., Morrison, H., Larson, V. E., Craig, C., and Schanen, D. P.: Higher-order turbulence closure and its impact on Climate Simulation in the Community Atmosphere Model, J. Climate., 26, 9655–9676, https://doi.org/10.1175/JCLI-D-13-00075.1, 2013.
Boucher, O., Randall, D., Artaxo, P., Bretherton, C., Feingold, G., Forster, P., Kerminen, V.-M., Kondo, Y., Liao, H., Lohmann, U., Rasch, P., Satheesh, S. K., Sherwood, S., Stevens, B., and Zhang, X. Y.: Clouds and Aerosols, in: Climate Change 2013: The Physical} Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate {Change, edited by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge Universtiy Press, 2013.
Carslaw, K., Lee, L., Reddington, C., Pringle, K., Rap, A., Forster, P., Mann, G., Spracklen, D., Woodhouse, M., Regayre, L., and others: Large contribution of natural aerosols to uncertainty in indirect forcing, Nature, 503, 67–71, https://doi.org/10.1038/nature12674, 2013.
Gettelman, A. and Morrison, H.: Advanced Two}-Moment Bulk Microphysics for Global Models. Part I: Off}-Line {Tests and Comparison with Other {Schemes, J. Climate, 28, 1268–1287, https://doi.org/10.1175/JCLI-D-14-00102.1, 2015.
Gettelman, A., Liu, X., Barahona, D., Lohmann, U., and Chen, C. C.: Climate Impacts of Ice Nucleation, J. Geophys. Res., 117, D20201, https://doi.org/10.1029/2012JD017950, 2012.
Gettelman, A., Morrison, H., Terai, C. R., and Wood, R.: Microphysical process rates and global aerosol-cloud interactions, Atmos. Chem. Phys., 13, 9855–9867, https://doi.org/10.5194/acp-13-9855-2013, 2013.
Gettelman, A., Morrison, H., Santos, S., Bogenschutz, P., and Caldwell, P. M.: Advanced Two}-Moment Bulk Microphysics for Global Models. Part II: Global Model Solutions and Aerosol}–{Cloud {Interactions, J. Climate, 28, 1288–1307, https://doi.org/10.1175/JCLI-D-14-00103.1, 2015.
Ghan, S. J.: Technical Note: Estimating aerosol effects on cloud radiative forcing, Atmos. Chem. Phys., 13, 9971–9974, https://doi.org/10.5194/acp-13-9971-2013, 2013.
Ghan, S. J., Smith, S. J., Wang, M., Zhang, K., Pringle, K., Carslaw, K., Pierce, J., Bauer, S., and Adams, P.: A simple model of global aerosol indirect effects, J. Geophys. Res.-Atmos., 118, 6688–6707, https://doi.org/10.1002/jgrd.50567, 2013.
Guo, H., Golaz, J.-C., and Donner, L. J.: Aerosol effects on stratocumulus water paths in a PDF-based parameterization, Geophys. Res. Lett., 38, L17808, https://doi.org/10.1029/2011GL048611, 2011.
Hoose, C., Kristjansson, J. E., Chen, J. P., and Hazra, A.: A classical-theory-based parameterization of heterogeneous ice nucleation by mineral dust, soot and biological particles in a global climate model, J. Atmos. Sci., 67, 2483–2503, https://doi.org/10.1175/2010JAS3425.1, 2010.
Kiehl, J. T., Schneider, T. L., Rasch, P. J., and Barth, M. C.: Radiative forcing due to sulfate aerosols from simulations with the National Center for Atmospheric Research Community Climate Model, version 3, J. Geophys. Res., 105, 1441–1457, 2000.
Kogan, Y.: A Cumulus} Cloud Microphysics Parameterization for Cloud}-{Resolving {Models, J. Atmos. Sci., 70, 1423–1436, https://doi.org/10.1175/JAS-D-12-0183.1, 2013.
Korolev, A.: Limitations of the Wegener}–Bergeron–Findeisen Mechanism in the Evolution of Mixed}-Phase {Clouds, J. Atmos. {Sci., 64, 3372–3375, https://doi.org/10.1175/JAS4035.1, 2007.
Korolev, A. V.: Rates of phase transformations in mixed-phase clouds, Q. J. Roy. Meteorol. Soc., 134, 595–608, https://doi.org/10.1002/qj.230, 2008.
Lawson, R. P. and Gettelman, A.: Impact of Antarctic mixed-phase clouds on climate, P. Natl. Acad. Sci. USA, 111, 18156–18161, https://doi.org/10.1073/pnas.1418197111, 2014.
Liu, X., Easter, R. C., Ghan, S. J., Zaveri, R., Rasch, P., Shi, X., Lamarque, J.-F., Gettelman, A., Morrison, H., Vitt, F., Conley, A., Park, S., Neale, R., Hannay, C., Ekman, A. M. L., Hess, P., Mahowald, N., Collins, W., Iacono, M. J., Bretherton, C. S., Flanner, M. G., and Mitchell, D.: Toward a minimal representation of aerosols in climate models: description and evaluation in the Community Atmosphere Model CAM5, Geosci. Model Dev., 5, 709–739, https://doi.org/10.5194/gmd-5-709-2012, 2012.
Lohmann, U. and Feichter, J.: Global indirect aerosol effects: a review, Atmos. Chem. Phys., 5, 715–737, https://doi.org/10.5194/acp-5-715-2005, 2005.
Lohmann, U., Spichtinger, P., Jess, S., Peter, T., and Smit, H.: Cirrus cloud formation and ice supersaturated regions in a global climate model, Environ. Res. Lett., 3, 045022, http://stacks.iop.org/1748-9326/3/045022, 2008.
Menon, S., Genio, A. D. D., Koch, D., and Tselioudis, G.: GCM Simulations} of the Aerosol Indirect Effect}: Sensitivity to Cloud {Parameterization and Aerosol {Burden, J. Atmos. Sci., 59, 692–713, https://doi.org/10.1175/1520-0469(2002)059<0692:GSOTAI>2.0.CO;2, 2002.
Morrison, H. and Gettelman, A.: A new two-moment bulk stratiform cloud microphysics scheme in the NCAR Community} Atmosphere Model (CAM3), Part I: Description and Numerical {Tests, J. Climate, 21, 3642–3659, 2008.
Neale, R. B., Chen, C. C., Gettelman, A., Lauritzen, P. H., Park, S., Williamson, D. L., Conley, A. J., Garcia, R., Kinnison, D., Lamarque, J. F., Marsh, D., Mills, M., Smith, A. K., Tilmes, S., Vitt, F., Cameron}-Smith, P., Collins, W. D., Iacono, M. J., Easter, R. C., Ghan, S. J., Liu, X., Rasch, P. J., and Taylor, M. A.: Description of the NCAR Community Atmosphere Model (CAM5.0), Tech. Rep. NCAR/TN-486+STR, National Center for Atmospheric {Research, Boulder, CO, USA, 2010.
Penner, J. E., Quaas, J., Storelvmo, T., Takemura, T., Boucher, O., Guo, H., Kirkevåg, A., Kristjánsson, J. E., and Seland, Ø.: Model intercomparison of indirect aerosol effects, Atmos. Chem. Phys., 6, 3391–3405, https://doi.org/10.5194/acp-6-3391-2006, 2006.
Pincus, R. and Baker, M. B.: Effect of precipitation on the albedo susceptibility of clouds in the marine boundary layer, Nature, 372, 250–252, 1994.
Posselt, R. and Lohmann, U.: Introduction of prognostic rain in ECHAM5: design and single column model simulations, Atmos. Chem. Phys., 8, 2949–2963, https://doi.org/10.5194/acp-8-2949-2008, 2008.
Rosenfeld, D., Lohmann, U., Raga, G. B., O}'Dowd, C. D., Kulmala, M., Fuzzi, S., Reissell, A., and Andreae, M. O.: Flood or Drought: How do Aerosols {Affect Precipitation, Science, 321, 1309–1313, 2008.
Rotstayn, L. D. and Liu, Y.: A smaller global estimate of the second indirect aerosol effect, Geophys. Res. Lett., 32, L05708, https://doi.org/10.1029/2004GL021922, 2005.
Seifert, A. and Beheng, K. D.: A double-moment parameterization for simulating autoconversion, accretion and selfcollection, Atmos. Res., 59–60, 265–281, 2001.
Shipway, B. J. and Hill, A. A.: Diagnosis of systematic differences between multiple parametrizations of warm rain microphysics using a kinematic framework, Q. J. Roy. Meteorol. Soc., 138, 2196–2211, https://doi.org/10.1002/qj.1913, 2012.
Terai, C. R., Wood, R., Leon, D. C., and Zuidema, P.: Does precipitation susceptibility vary with increasing cloud thickness in marine stratocumulus?, Atmos. Chem. Phys., 12, 4567–4583, https://doi.org/10.5194/acp-12-4567-2012, 2012.
Twomey, S.: The influence of pollution on the shortwave albedo of clouds, J. Atmos. Sci., 34, 1149–1152, 1977.
Twomey, S. and Squires, P.: The Influence of Cloud Nucleus} Population on the Microstructure and Stability of Convective {Clouds, Tellus, 9, 408–411, 1959.
Wang, M., Ghan, S., Liu, X., L}'Ecuyer, T. S., Zhang, K., Morrison, H., M. Ovchinnikov, R. E., Marchand, R., Chand, D., Qian, Y., and Penner, J. E.: Constraining cloud lifetime effects of aerosols using A-Train {Satellite observations, Geophys. Res. Lett., 39, L15709, https://doi.org/10.1029/2012GL052204, 2012.
Wood, R., Kubar, T. L., and Hartmann, D. L.: Understanding the Importantce of Microphysics and Macrophysics for Warm Rain} in Marine Low Clouds. Part II: Heuristic Models of Rain {Formation, J. Atmos. Sci., 66, 2973–2990, https://doi.org/10.1175/2009JAS3072.1, 2009.
Zhang, Y., Stevens, B., and Ghil, M.: On the diurnal cycle and susceptibility to aerosol concentration in a stratocumulus-topped mixed layer, Q. J. Roy. Meteorol. Soc., 131, 1567–1583, https://doi.org/10.1256/qj.04.103, 2005.
Zhao, C., Liu, X., Qian, Y., Yoon, J., Hou, Z., Lin, G., McFarlane, S., Wang, H., Yang, B., Ma, P.-L., Yan, H., and Bao, J.: A sensitivity study of radiative fluxes at the top of atmosphere to cloud-microphysics and aerosol parameters in the community atmosphere model CAM5, Atmos. Chem. Phys., 13, 10969–10987, https://doi.org/10.5194/acp-13-10969-2013, 2013.